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Criterion
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Surveys method illustration showing its working structure
UX Research
Surveys
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
HighMediumHighHigh
Timedifferent
2-6 h3-14 Tage1 Tag bis mehrere Wochen2-6 h
Participantsdifferent
3-850+4-103-10
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasSurvey Results, Charts, Segment InsightsProblem Statement, Prototype, Test LearningsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
QuantitativeResearchValidation
InnovationPrototypeResearch
CausalityIncidentRoot causeTimeline
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